DE

Event

Risk Management in Industrial Supply Networks [WS222581992]

Type
lecture (V)
Präsenz
Term
WS 22/23
SWS
2
Language
Englisch
Appointments
15
Links
ILIAS

Lecturers

Organisation

  • Betriebswirtschaftslehre, insb. Produktionswirtschaft und Logistik

Part of

Literature

Wird in der Veranstaltung bekannt gegeben.

Appointments

  • 24.10.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 31.10.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 07.11.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 14.11.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 21.11.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 28.11.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 05.12.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 12.12.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 19.12.2022 17:30 - 19:00 - Room: 05.20 1C-04
  • 09.01.2023 17:30 - 19:00 - Room: 05.20 1C-04
  • 16.01.2023 17:30 - 19:00 - Room: 05.20 1C-04
  • 23.01.2023 17:30 - 19:00 - Room: 05.20 1C-04
  • 30.01.2023 17:30 - 19:00 - Room: 05.20 1C-04
  • 06.02.2023 17:30 - 19:00 - Room: 05.20 1C-04
  • 13.02.2023 17:30 - 19:00 - Room: 05.20 1C-04

Note

Students learn methods and tools to manage risks in complex and dynamically evolving supply chain networks. Students learn the key terms and concepts of risk management and decision theory, in particular expected utility theory. Based on the theoretic prerequisites, students are able to determine and analyze risk diversification, risk pooling, insurance mechanisms and get an overview on statistical risk measures and real options. These approaches are adapted to analyze supply chain risks in a network context. In this manner, students gain knowledge in basic notions of network theory, network metrics and network-strategies for supply chain decisions.

  • Introduction
  • Risks in decisions under uncertainty: Expected Utility Theory & risk preferences
  • The newsvendor model; multivariate risks and insurance
  • Risk measures & evaluation techniques: Value-at-Risk, Conditional Value at Risk, Monte Carlo and Real Options
  • Transparency in complex supply chains
  • Network risk: network basics and criticality
  • Risk in supply networks: empirical approaches and insights